Selecting a Sustainable Array of Machinery by Integrating Analytic Hierarchy Process with Gray Relational Analysis

• Autorzy: Hamidreza, Qane'ei Kenarsari , Narges Banaeian , Mahdi Khani
• Języki publikacji: EN

Abstrakty

EN

One of the key factors that contribute to the proper growth and development of agricultural mechanization is the selection of a sustainable combination of agricultural machinery. This study aims to evaluate and select a sustainable combination of agricultural machinery for rice cultivation in a specific region using hybrid decision-making of AHP-fuzzy GRA methods. First, the agricultural operation program and related types of agricultural machinery applied in the region were investigated. Then several sub-criteria were selected for the selection process, in three main criteria (economic, social, and environmental) using literature, chosen by Delphi scores and weighted by pairwise comparison. Finally, available machinery options for each operation were ranked using fuzzy gray relational analysis. Results showed that hybrid methods are powerful tools for solving similar problems confronted with qualitative and quantitative criteria. (original abstract)

Słowa kluczowe

EN

Agricultural mechanization; Efficiency in agriculture; Agriculture; Agriculture development; Operations research

PL

Mechanizacja rolnictwa; Efektywność rolnictwa; Rolnictwo; Rozwój rolnictwa; Badania operacyjne

• Czasopismo: Operations Research and Decisions
• Rocznik: 2024
• Tom: 34
• Numer: nr 2
• Strony: 109--119

Twórcy

autor

Hamidreza, Qane'ei Kenarsari

• University of Guilan, Rasht, Iran

autor

Narges Banaeian

• University of Guilan, Rasht, Iran

autor

Mahdi Khani

• University of Guilan, Rasht, Iran

Bibliografia

• [1] Arce, M. E., Saavedra, Á., Míguez, J. L., and Granada, E. The use of grey-based methods in multi-criteria decision analysis for the evaluation of sustainable energy systems: A review. Renewable and Sustainable Energy Reviews 47 (2015), 924-932.
• [2] Banaeian, N., Mobli, H., Fahimnia, B., Nielsen, I. E., and Omid, M. Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry. Computers and Operations Research 89 (2018), 337-347.
• [3] Banaeian, N., Mobli, H., Nielsen, I. E., and Omid, M. Criteria definition and approaches in green supplier selection - a case study for raw material and packaging of food industry. Production and Manufacturing Research 3, 1 (2015), 149-168.
• [4] Banaeian, N., and Pourhejazy, P. Integrating sustainability into the machinery selection decisions in the agriculture sector. IEEE Engineering Management Review 48, 4 (2020), 167-173.
• [5] Bascetin, A. A decision support system using analytical hierarchy process (AHP) for the optimal environmental reclamation of an open-pit mine. Environmental Geology 52, 4 (2007), 663-672.
• [6] Bouman, B. A. M., and Tuong, T. P. Field water management to save water and increase its productivity in irrigated lowland rice. Agricultural Water Management 49, 1 (2001), 11-30.
• [7] Dehpour, M. B., and Bagheri, I. Management of Agricultural Machinery. University of Guilan Press, Rasht, Iran, 2010 (in Persian).
• [8] Deng, J.-L. Control problems of grey systems. Systems and Controls Letters 1, 5 (1982), 288-294.
• [9] Eftekhary, M., Gholami, P., Safari, S., and Shojaee, M. Ranking normalization methods for improving the accuracy of SVM algorithm by DEA method. Modern Applied Science 6, 10 (2012), 26-36.
• [10] Emovon, I., and Oghenenyerovwho, O. S. Application of MCDM method in material selection for optimal design: A review. Results in Materials 7 (2020), 100115.
• [11] FAOStats (21 May 2021). FAO's Sustainable Development Goals (accessed on 15 January 2023).
• [12] Farooq, M., Siddique, K. H. M., Rehman, H., Aziz, T., Lee, D.-J., and Wahid, A. Rice direct seeding: experiences, challenges and opportunities. Soil and Tillage Research 111, 2 (2011), 87-98.
• [13] Goodman, C. M. The Delphi technique: a critique. Journal of Advanced Nursing 12, 6 (1987), 729-734.
• [14] Gumus, A. T., Yayla, A. Y., Çelik, E., and Yildiz, A. A combined fuzzy-AHP and fuzzy-GRA methodology for hydrogen energy storage method selection in Turkey. Energies 6, 6 (2013), 3017-3032.
• [15] Hafezalkotob, A., Hami-Dindar, A., Rabie, N., and Hafezalkotob, A. A decision support system for agricultural machines and equipment selection: A case study on olive harvester machines. Computers and Electronics in Agriculture 148 (2018), 207-216.
• [16] Hormozi, M. A., Asoodar, M. A., and Abdeshahi, A. Impact of mechanization on technical efficiency: A case study of rice farmers in Iran. Procedia Economics and Finance 1 (2012), 176-185.
• [17] Hu, Y., Xiao, S., Wen, J., and Li, J. An anp-multi-criteria-based methodology to construct maintenance networks for agricultural machinery cluster in a balanced scorecard context. Computers and Electronics in Agriculture 158 (2019), 1-10.
• [18] Hui, G., and Bifeng, S. Study on effectiveness evaluation of weapon systems based on grey relational analysis and TOPSIS. Journal of Systems Engineering and Electronics 20, 1 (2009), 106-111.
• [19] Karizaki, V. M. Ethnic and traditional Iranian rice-based foods. Journal of Ethnic Foods 3, 2 (2016), 124-134.
• [20] Krohling, R. A., and Campanharo, V. C. Fuzzy TOPSIS for group decision making: A case study for accidents with oil spill in the sea. Expert Systems with Applications 38, 4 (2011), 4190-4197.
• [21] Kuo, M.-S., and Liang, G.-S. Combining VIKOR with GRA techniques to evaluate service quality of airports under fuzzy environment. Expert Systems with Applications 38 (2011), 1304-1312.
• [22] Lu, J., Wei, C., Wu, J., and Wei, G. TOPSIS method for probabilistic linguistic MAGDM with entropy weight and its application to supplier selection of new agricultural machinery products. Entropy 21, 10 (2019), 953.
• [23] Mansoori Rad, D. Tractors and Agricultural Machineries. Vol. 1. Bu-ali Sina University Press, Hamedan, Iran, 2004 (in Persian).
• [24] Monajem, S., Ranji, A., Khani, M., and Dorosti, H. Evaluation of rice production systems in Guilan province by using of Analytical Hierarchy Process (AHP). Cereal Research 3, 3 (2013), 255-266.
• [25] Moreno-Solaz, H., Artacho-Ramírez, M.-Á., Aragonés-Beltrán, P., and Cloquell-Ballester, V.-A. Sustainable selection of waste collection trucks considering feasible future scenarios by applying the stratified best and worst method. Heliyon 9, 4 (2023), e15481.
• [26] Prakash Grag, C., Görcün, O. F., Kundu, P., and Küçükönder, H. An integrated fuzzy MCDM approach based on Bonferroni functions for selection and evaluation of industrial robots for the automobile manufacturing industry. Expert Systems with Applications 213 (2023), 118863.
• [27] Requiso, P. J., Nayve Jr, F. R. P., and Ventura, J.-R. S. Sustainable polyhydroxyalkanoates (PHA) extraction protocol selection using AHP-GRA. Preprint version available from: https://www.researchsquare.com/article/rs-518413/v1.
• [28] Romero-Gelvez, J. I., Beltrán-Fernández, S. V., Aristizabal, A. J., Zapata, S., and Castañeda, M. Precision agriculture technology evaluation using combined AHP and GRA for data acquisition in apiculture. In Joint Proceedings of the ICAI 2020 Workshops WAAI 2020, AIESD 2020, WDEA 2020, WSSC 2020 co-located with the Third International Conference on Applied Informatics (Ota, Nigeria, 2020), H. Florez, I. Galpin and C. Grévisse, Eds., CEUR Workshop Proceedings (CEUR-WS.org), pp. 135-145.
• [29] Saaty, T. L. Decision making with the analytic hierarchy process. Scientia Iranica 9, 3 (2002), 215-229.
• [30] Sironent, S., Primmer, E., Leskinen, P., Simila, J., and Punttila, P. Context sensitive policy instruments: A multi-criteria decision analysis for safeguarding forest habitats in Southwestern Finland. Land Use Policy 92 (2020), 104460.
• [31] Skulmoski, G. J., Hartman, F. T., and Krahn, J. The Delphi method for graduate research. Journal of Information Technology Education: Research 6, 1 (2007), 1-21.
• [32] Statistical Book of Jihad-e Agriculture Organization (JAO) of Gilan Province. (18 March 2021), (accessed on 15 January 2023), (in Persian).
• [33] Taherdoost, H. Decision making using the Analytical Hierarchy Process (AHP); A step by step approach. International Journal of Economics and Management Systems 2 (2017), 244-246.
• [34] Vaidya, O. S., and Kumar, S. Analytic hierarchy process: An overview of applications. European Journal of Operational Research 169, 1 (2006), 1-29.
• [35] Vidal, L.-A., Marle, F., and Bocquet, J.-C. Using a Delphi process and the Analytic Hierarchy Process (AHP) to evaluate the complexity of projects. Expert Systems with Applications 38, 5 (2011), 5388-5405.
• [36] Wei, G., Lei, F., Lin, R., Wang, R., Wei, Y., Wu, J., and Wei, C. Algorithms for probabilistic uncertain linguistic multiple attribute group decision making based on the GRA and CRITIC method: application to location planning of electric vehicle charging stations. Economic Research. Ekonomska Istraživanja 33, 1 (2020), 828-846.
• [37] Woudenberg, F. An evaluation of Delphi. Technological Forecasting and Social Change 40, 2 (1991), 131-150.
• [38] Yousefzadeh, S., and Firouzi, S. The study of the factors affecting the development of mechanization of rice cultivation in Guilan province by Delphi technique. Iranian Journal of Biosystems Engineering 47, 1 (2016), 83-92.
• [39] Zadeh, L. A. Fuzzy sets. Information and Control 8, 3 (1965), 338-353.
• [40] Zadeh, L. A. Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems: Selected papers. vol. 6 of Advances in Fuzzy Systems - Applications and Theory. World Scientific, 1996.
• [41] Zhang, S. F., and Liu, S. Y. A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection. Expert Systems with Applications 38, 9 (2011), 11401-11405.

Identyfikatory

DOI

10.37190/ord240207